π€ Artificial Intelligence
How AI Search Ranks Sources
An AI answer is only as good as the sources behind it. Learn how Headlinne AI Search selects and prioritizes the sources it cites.
By Headlinne Editorial Team Β· Updated on
Sources first, answer second
The quality of an AI answer depends almost entirely on which sources it draws from. Headlinne AI Search retrieves candidate sources before writing anything, then grounds its answer in the most relevant and reliable of them.
Getting the retrieval right is what separates a trustworthy cited answer from a confident guess.
What retrieval considers
AI Search draws on and weighs signals like:
- Relevance β semantic match between your question and the source
- Freshness β recent reporting for time-sensitive questions
- Source type β established outlets and reporting over thin content
- Coverage across both Headlinne's corpus and the live web
Hybrid retrieval
AI Search searches Headlinne's news corpus and the live web in parallel, then combines and prioritizes the results. This hybrid approach means answers can draw on Headlinne's curated reporting and up-to-the-minute web sources at once, rather than being limited to either alone.
The best of both is then synthesized into a single answer with citations.
Why you can trust the citations
Because AI Search grounds its answer in retrieved sources and cites them, you can see exactly what informed each claim and judge those sources yourself. Ranking is not a black box you have to acceptβit resolves into citations you can open.
See how citations improve AI answers and how Dive Deeper ranks its sources for related detail on source selection.
Key takeaways
- βAI Search retrieves and prioritizes sources before writing an answer.
- βIt weighs relevance, freshness, and source type across Headlinne's corpus and the web.
- βRanking resolves into citations you can open and judge for yourself.
Frequently asked questions
Where do AI Search's sources come from?
From a hybrid retrieval that searches Headlinne's news corpus and the live web in parallel, prioritizing relevant, fresh, and reliable sources, then citing them in the answer.
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